{"schema_version":"onlylabs.public_signal.v1","title":"LG AI Research (EXAONE) Model: LGAI-EXAONE/EXAONE-Path-EGFR","description":"LG AI Research (EXAONE) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67","json_url":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67/signal.json","generated_at":"2026-06-11T02:50:39.211044+00:00","org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/lg-ai","dossier_json_url":"https://onlylabs.fyi/labs/lg-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67","signal_json":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67/signal.json","source":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR","lab_dossier":"https://onlylabs.fyi/labs/lg-ai","lab_dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/lg-ai","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"LG AI Research (EXAONE) published LGAI-EXAONE/EXAONE-Path-EGFR. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license other · 36 HF downloads · Low traction, niche model release. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR","source_host":"huggingface.co","occurred_at":"2025-07-07T22:37:52+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"LG AI Research (EXAONE)","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"huggingface.co","source":"source"},{"label":"License","value":"other","source":"model"},{"label":"Downloads","value":"36","source":"traction"},{"label":"Likes","value":"7","source":"traction"},{"label":"Notability","value":"Low traction, niche model release","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Infrastructure","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR/raw/main/README.md"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T02:50:39.211044+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67/signal.json","dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","evidence_focus":["model card","release note","version or tag","pipeline tag","license","downloads, likes, stars, and linked papers"],"extraction_questions":["What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Which launches create new eval, data, infra, or deployment needs?","Which shipped signals are missing captured page context?"],"signal_questions":["What shipped in this model artifact, and what evidence describes its capability, license, or traction?","What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Do the 6 related model signals show a repeated pattern?"],"output_fields":["org","release_type","artifact","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67/signal.json","required":true},{"label":"source","url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/lg-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze LG AI Research (EXAONE)'s model signal \"LGAI-EXAONE/EXAONE-Path-EGFR\" for neolab strategy."},"semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published model","object":"LGAI-EXAONE/EXAONE-Path-EGFR","text":"LG AI Research (EXAONE) published model LGAI-EXAONE/EXAONE-Path-EGFR."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"is classified as","object":"model signal","text":"LGAI-EXAONE/EXAONE-Path-EGFR is classified as model signal."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"belongs to","object":"releases desk","text":"LGAI-EXAONE/EXAONE-Path-EGFR belongs to releases desk."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LGAI-EXAONE/EXAONE-Path-EGFR has evidence coverage 1 captured evidence page."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has captured page count","object":"1","text":"LGAI-EXAONE/EXAONE-Path-EGFR has captured page count 1."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has readable page count","object":"1","text":"LGAI-EXAONE/EXAONE-Path-EGFR has readable page count 1."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has related signal count","object":"6","text":"LGAI-EXAONE/EXAONE-Path-EGFR has related signal count 6."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has analysis playbook objective","object":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","text":"LGAI-EXAONE/EXAONE-Path-EGFR has analysis playbook objective Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has source host","object":"huggingface.co","text":"LGAI-EXAONE/EXAONE-Path-EGFR has source host huggingface.co."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has lab","object":"LG AI Research (EXAONE)","text":"LGAI-EXAONE/EXAONE-Path-EGFR has lab LG AI Research (EXAONE)."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has signal desk","object":"releases","text":"LGAI-EXAONE/EXAONE-Path-EGFR has signal desk releases."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has source host","object":"huggingface.co","text":"LGAI-EXAONE/EXAONE-Path-EGFR has source host huggingface.co."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has license","object":"other","text":"LGAI-EXAONE/EXAONE-Path-EGFR has license other."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has downloads","object":"36","text":"LGAI-EXAONE/EXAONE-Path-EGFR has downloads 36."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has likes","object":"7","text":"LGAI-EXAONE/EXAONE-Path-EGFR has likes 7."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has notability","object":"Low traction, niche model release","text":"LGAI-EXAONE/EXAONE-Path-EGFR has notability Low traction, niche model release."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has watch term","object":"Eval methodology","text":"LGAI-EXAONE/EXAONE-Path-EGFR has watch term Eval methodology."}]},"intelligence":{"signal_desk":"releases","answer":"LG AI Research (EXAONE) published LGAI-EXAONE/EXAONE-Path-EGFR. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license other · 36 HF downloads · Low traction, niche model release. onlylabs links this event to 1 captured evidence page and 6 related model signals.","semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published model","object":"LGAI-EXAONE/EXAONE-Path-EGFR","text":"LG AI Research (EXAONE) published model LGAI-EXAONE/EXAONE-Path-EGFR."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"is classified as","object":"model signal","text":"LGAI-EXAONE/EXAONE-Path-EGFR is classified as model signal."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"belongs to","object":"releases desk","text":"LGAI-EXAONE/EXAONE-Path-EGFR belongs to releases desk."},{"subject":"LGAI-EXAONE/EXAONE-Path-EGFR","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LGAI-EXAONE/EXAONE-Path-EGFR has evidence coverage 1 captured evidence page."}]},"signal":{"id":"dd1e6ff8-905b-4aa2-9a4c-3874cd136c67","url":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67","json_url":"https://onlylabs.fyi/signals/dd1e6ff8-905b-4aa2-9a4c-3874cd136c67/signal.json","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR","title":"LGAI-EXAONE/EXAONE-Path-EGFR","summary":"LG AI Research (EXAONE) published a model signal. onlylabs watches model cards, launch context, and traction.","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-07T22:37:52+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR/raw/main/README.md"]},"facets":{"license":"other"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":36,"hf_likes":7},"data_radar":null},"primary_evidence_page":{"url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR/raw/main/README.md","final_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR/raw/main/README.md","title":"LGAI-EXAONE/EXAONE-Path-EGFR model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:39.211044+00:00","bytes":2303,"raw_path":"47004fbd619ac820ef2ce465c00b59d05e175ac740f64d5822bdbe907f3c98b3.md","content_hash":"8148d06b934d31b1defa7bd91887b998e1cf624d088a2ab689ff1c91c02a4921","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: other license_name: exaonepath license_link: LICENSE tags: - lg-ai - EXAONE-Path-2.0 - pathology --- EXAONE Path LUAD-EGFR Predictor EGFR classification of LUAD tumors using EXAONE Path 2.0 - a pathology foundation model with end-to-end supervision. Overview This model serves as a reference for predicting EGFR mutation status using LUAD (lung adenocarcinoma) tumor images as input. When the model receives an H&E-stained whole slide image as input, it passes through the EXAONE Path 2.0 foundation model, which converts it into a set of features. These features are then integrated into a slide-level feature representation through an aggregator. Finally, a linear classifier predicts the EGFR mutation status (wild-type or mutated). The model achieves an average performance of AUROC 0.85 on in-house data. This open-source release aims to demonstrate the effectiveness of EXAONE Path 2.0 on biomarker prediction tasks. It is hoped that this source code will serve as an important reference not only for LUAD EGFR prediction but also as an image-based solution for various disease-related problems, including molecular subtyping, tumor subtyping, and mutation prediction. Setup..."},"evidence_pages":[{"url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR/raw/main/README.md","final_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-EGFR/raw/main/README.md","title":"LGAI-EXAONE/EXAONE-Path-EGFR model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:39.211044+00:00","bytes":2303,"raw_path":"47004fbd619ac820ef2ce465c00b59d05e175ac740f64d5822bdbe907f3c98b3.md","content_hash":"8148d06b934d31b1defa7bd91887b998e1cf624d088a2ab689ff1c91c02a4921","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: other license_name: exaonepath license_link: LICENSE tags: - lg-ai - EXAONE-Path-2.0 - pathology --- EXAONE Path LUAD-EGFR Predictor EGFR classification of LUAD tumors using EXAONE Path 2.0 - a pathology foundation model with end-to-end supervision. Overview This model serves as a reference for predicting EGFR mutation status using LUAD (lung adenocarcinoma) tumor images as input. When the model receives an H&E-stained whole slide image as input, it passes through the EXAONE Path 2.0 foundation model, which converts it into a set of features. These features are then integrated into a slide-level feature representation through an aggregator. Finally, a linear classifier predicts the EGFR mutation status (wild-type or mutated). The model achieves an average performance of AUROC 0.85 on in-house data. This open-source release aims to demonstrate the effectiveness of EXAONE Path 2.0 on biomarker prediction tasks. It is hoped that this source code will serve as an important reference not only for LUAD EGFR prediction but also as an image-based solution for various disease-related problems, including molecular subtyping, tumor subtyping, and mutation prediction. Setup..."}],"related_signals":[{"id":"568d04dd-6e72-4ba8-8e85-3a788fd371c6","url":"https://onlylabs.fyi/signals/568d04dd-6e72-4ba8-8e85-3a788fd371c6","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.5-33B","title":"LGAI-EXAONE/EXAONE-4.5-33B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-04-04T08:34:23+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"92204e0f-9a7f-4312-996b-d76305bf7a53","url":"https://onlylabs.fyi/signals/92204e0f-9a7f-4312-996b-d76305bf7a53","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0-rev-EGFR","title":"LGAI-EXAONE/EXAONE-Path-2.0-rev-EGFR","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-03-04T11:42:00+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"2f090e5b-b86b-49e5-85a6-4b86fa28479e","url":"https://onlylabs.fyi/signals/2f090e5b-b86b-49e5-85a6-4b86fa28479e","source_url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B","title":"LGAI-EXAONE/K-EXAONE-236B-A23B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-26T11:55:04+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"5be8317e-2787-4b9c-bdc0-1a8f73f3e40c","url":"https://onlylabs.fyi/signals/5be8317e-2787-4b9c-bdc0-1a8f73f3e40c","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.5","title":"LGAI-EXAONE/EXAONE-Path-2.5","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-15T16:34:54+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"470a48e0-b893-4962-b281-5501d34af45a","url":"https://onlylabs.fyi/signals/470a48e0-b893-4962-b281-5501d34af45a","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.0.1-32B","title":"LGAI-EXAONE/EXAONE-4.0.1-32B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-29T07:32:29+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"777b08a1-fd93-41d4-8174-b71ee5a96ca0","url":"https://onlylabs.fyi/signals/777b08a1-fd93-41d4-8174-b71ee5a96ca0","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-1.2B","title":"LGAI-EXAONE/EXAONE-4.0-1.2B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-11T07:02:32+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"}]}